Sensitivity and Specificity Improvement for Breast Cancer Detection by Tumor-Microenvironment Multimodality Molecular Imaging

¹Radiology Department, Paramedical Faculty, Tabriz University of Medical Sciences, Iran

²Radiology Department, Paramedical Faculty, Tabriz University of Medical Sciences, Iran

*Corresponding Author: Fakhrossadat Sajjadian, Radiology Department, Paramedical Faculty, Tabriz University of Medical Sciences, Tabriz 51368, Iran, Tel: +989177140870, ORCID: 0000-0003-3478-1135; Email: [email protected].

Received Date: October 14, 2023

Published Date: November 01, 2023

Citation: Shayan RG, et al. (2023). Sensitivity and Specificity Improvement for Breast Cancer Detection by Tumor-Microenvironment Multimodality Molecular Imaging. Mathews J Case Rep. 8(10):130.

Copyrights: Shayan RG, et al. © (2023).

ABSTRACT

External factors in mutual cooperation with internal factors initiate and progress breast malignancies. One of those overwhelming major factors, affecting initiation, progression, therapy-resistance, recurrence and metastasis in cancer, is tumor microenvironment (TME). TME is described by hypoxia, vascular abnormal features, low extracellular pH (pHe), and increased interstitial fluid pressure which are to some extent unique to solid tumors (35). Breast cancer (BC) is the most universal fatal tumor and the second reason of death, after heart diseases, among women worldwide. External factors in mutual cooperation with internal factors initiates and progresses breast malignancies including mainly tumor micro environment. Tumor stroma is comprised of extracellular matrix (ECM), and stromal cells. In this article we extant a review on the main methods of breast cancer imaging that rely on molecular characteristics of solid tumor microenvironment for early and precise detection of breast cancer. There are 3 indispensable methods which have important role in detecting role of tumor microenvironment in progression of breast cancer. PET, MRI and Optical Imaging methods have been discussed through diverse detection of tumor microenvironment components using their numerous capabilities.

Keywords: Breast cancer, TME, PET scan, Optical imaging, MRI.